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首页> 外文会议>International conference on computer design >A New Traffic Offloading Method with Slow Switching Optical Device in Exascale Computer
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A New Traffic Offloading Method with Slow Switching Optical Device in Exascale Computer

机译：百亿亿次计算机中采用慢速交换光设备的交通分流新方法

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The expected exascale computer will comprise tens of thousands of computing nodes and nearly 5000 interconnected nodes in years to come. Such a large-scale system will represent a milestone in the progress of High-Performance Computing (HPC). The more efficient network hardware, like optoelectronic interconnection and configurable switches, is reforming the traditional architecture of supercomputers. However, the present architecture containing new hardware is not easy to adapt to the dynamically running condition, because the newly developed hardware is normally unable to effectively improve overall performance. Here, we propose a new accelerated system called Software Defined Network Accelerator (sDNA) for the exascale computer. Inspired by edge forwarding index (EFI), the main contribution of our work is that it presents an extended EFI-based optical interconnection method with slow switching optical device. The optical link is connected by the evaluation of each optical link candidate's traffic offloading revenue. As the supporting method for optical interconnection, sDNA selects the most suitable routing configuration according to the job-schedule information and the prior-knowledge of HPC applications. We tested sDNA in a network simulator and a prototype system for the exascale computer, using both DOE application benchmarks and a real-world communication benchmark. From the result of verification of traffic offloading, we found that our optical interconnection method based on our extended EFI evaluation is not only able to offload the traffic from an electrical link to an optical link but is also able to avoid congestion inherent to electrical link. Furthermore, our experimental results show that sDNA maintains the throughput of more than 80% bandwidth and reduced the communication delay by 10% in our real prototype system and simulator. Together, our sDNA is an ideal candidate for accelerating communication performance of the exascale computer.
机译：预期的百亿亿级计算机将在未来几年内包含数万个计算节点和将近5000个互连的节点。如此大规模的系统将代表高性能计算（HPC）进程中的一个里程碑。诸如光电互连和可配置交换机之类的效率更高的网络硬件正在改革超级计算机的传统体系结构。然而，由于新开发的硬件通常不能有效地改善整体性能，所以包含新硬件的本体系结构不容易适应动态运行条件。在这里，我们为百亿亿次计算机提出了一个称为软件定义的网络加速器（sDNA）的新加速系统。受边缘转发索引（EFI）的启发，我们的工作的主要贡献在于它提出了一种扩展的基于EFI的光互连方法，该方法具有缓慢切换的光学设备。通过评估每个光链路候选者的流量卸载收入来连接光链路。作为光学互连的支持方法，sDNA根据作业计划信息和HPC应用程序的先验知识选择最合适的路由配置。我们使用DOE应用程序基准测试和实际通信基准测试，在网络模拟器和百兆计算机的原型系统中测试了sDNA。从流量卸载的验证结果中，我们发现，基于扩展EFI评估的光互连方法不仅能够将流量从电链路转移到光链路，而且还可以避免电链路固有的拥塞。此外，我们的实验结果表明，在我们的真实原型系统和模拟器中，sDNA可以保持80％以上带宽的吞吐量，并将通信延迟降低10％。总之，我们的sDNA是加速百亿亿次计算机通讯性能的理想人选。

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